Finance Associate Director, Sales MI

Grade Level (for internal use), This role sits at the intersection of Finance, Sales Operations, and Technology - and it's central to how S&P Global ensures every sales commission is calculated on a clean, trusted, and fully governed data foundation. As the primary data architect and strategic partner for Sales leadership, you will shape the infrastructure that powers commercial decisions across the division.

• Architect and govern a centralised, SOX-compliant data platform - owning schema design, tool selection, database build-out, and ongoing maintenance - that serves as the single source of truth for all commission calculations and sales performance reporting.
• Serve as the first point of contact for sales leadership on all data-related matters - proactively detecting and resolving anomalies (e.g., double-counted revenue, incorrect territory mapping) before they impact calculations, while designing and implementing automated reconciliation and standardised adjustment processes that ensure data integrity and audit-readiness at scale.
• Lead and develop a team of data and compensation analysts: set goals, allocate resources, and build a culture of technical excellence and continuous improvement.
• Translate complex commercial contracts - including joint/split deals and strategic accounts - into structured, reusable data frameworks that integrate cleanly into operational and reporting workflows.
• Partner with Business Intelligence and Systems Analytics to shape Data Warehouse architecture and ETL workflows, ensuring downstream analytics always run on validated, trusted inputs.
• Communicate and present real-time sales performance analytics and data-quality metrics to senior leadership, while translating complex data architecture into plain English for sales reps and leaders - resolving data-related questions and driving adoption of correct processes across the organisation., At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions.
  
  Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
  
  Experience:
  
  10+ years in sales compensation, data architecture, data governance, or financial systems, including 2+ years in a people leadership role managing analytical teams.
• Database, Automation and Optimization:
  Hands-on experience in large-scale database design, schema development, ETL pipeline management, advanced SQL querying, database automation, and query performance optimization across complex, high-volume datasets.
• Reconciliation and Adjustments:
  Demonstrated proficiency in at least one scripting or automation tool - Python/Pandas, VBA, or Alteryx - to design and automate large-scale reconciliation pipelines and standardised adjustment workflows, ensuring data integrity and calculation accuracy at scale.
• Governance and Compliance:
  Proven experience establishing SOX-compliant data governance frameworks, including automated audit trails, validation models, and standardised adjustment protocols.
• Real-time Reporting:
  Experience building and configuring real-time Power BI reports and dashboards, and presenting data-quality metrics and insights to Director-level and above stakeholders.

• Prior experience in a sales compensation platform environment (e.g., Xactly, Anaplan, SAP Commissions, or equivalent).
• Experience interpreting and translating complex commercial deal structures - including joint/split deals, multi-party credits, and territory hierarchies - into clean, system-ready data constructs.
• Background contributing to Data Warehouse architecture or scalable BI infrastructure within a cross-functional Finance or Sales Operations environment.
• Track record converting ambiguous legacy workflows into documented SOPs and measurable SLAs.
• Ability to proactively identify and resolve revenue anomalies (e.g., double-counted revenue, incorrect territory mapping) before they impact commission execution.
• Strong verbal and written communication skills - able to explain database logic and commission calculations clearly to non-technical stakeholders including Sales Directors and senior commercial leadership.

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